• Mobility management and mobile server dispatching in fixed-to-mobile and mobile-to-mobile edge computing 

  Wang, Jingrong (2019-08-12)

  Mobile edge computing (MEC) has been considered as a promising technology to handle computation-intensive and latency-sensitive tasks for mobile user equipments (UEs) in next-generation mobile networks. Mobile UEs can ...
• A programming language based on recurrence equations and polyhedral compilation for stream processing 

  Leben, Jakob (2019-07-31)

  The work presented in this dissertation contributes to the field of programming lan- guage design and implementation for stream processing applications. There is a fast-expanding domain of stream processing applications ...
• MusE-XR: musical experiences in extended reality to enhance learning and performance 

  Johnson, David (2019-07-23)

  Integrating state-of-the-art sensory and display technologies with 3D computer graphics, extended reality (XR) affords capabilities to create enhanced human experiences by merging virtual elements with the real world. To ...
• Evolving geospatial applications: from silos and desktops to Microservices and DevOps 

  Gao, Bing (2019-04-30)

  The evolution of software applications from single desktops to sophisticated cloud-based systems is challenging. In particular, applications that involve massive data sets, such as geospatial applications and data science ...
• Generating rhyming poetry using LSTM recurrent neural networks 

  Peterson, Cole (2019-04-30)

  Current approaches to generating rhyming English poetry with a neural network involve constraining output to enforce the condition of rhyme. We investigate whether this approach is necessary, or if recurrent neural ...
• Geometric modeling with primitives 

  Angles, Baptiste (2019-04-29)

  Both man-made or natural objects contain repeated geometric elements that can be interpreted as primitive shapes. Plants, trees, living organisms or even crystals, showcase primitives that repeat themselves. Primitives are ...
• Decoding semantic representations during production of minimal adjective-noun phrases 

  Honari Jahromi, Maryam (2019-04-25)

  Through linguistic abilities, our brain can comprehend and produce an infinite number of new sentences constructed from a finite set of words. Although recent research has uncovered the neural representation of semantics ...
• Systematic generation of datasets and benchmarks for modern computer vision 

  Malireddi, Sri Raghu (2019-04-03)

  Deep Learning is dominant in the field of computer vision, thanks to its high performance. This high performance is driven by large annotated datasets and proper evaluation benchmarks. However, two important areas in ...
• Image processing and forward propagation using binary representations, and robust audio analysis using deep learning 

  Pedersoli, Fabrizio (2019-03-15)

  The work presented in this thesis consists of three main topics: document segmentation and classification into text and score, efficient computation with binary representations, and deep learning architectures ...
• Resilient controller placement problems in software defined wide-area networks 

  Tanha, Maryam (2019-01-31)

  Software Defined Networking (SDN) is an emerging paradigm for network design and management. By providing network programmability and the separation of control and data planes, SDN offers salient features such as simplified ...
• A recommendation system for web API services 

  Qiu, Feng (2019-01-11)

  Web-based Application Programming Interface (API) has become an important tool for modern software development. Many enterprises have developed various types of web APIs to support their business services, such as Google ...
• Peer alerting lifeline: a study of backend infrastructure for a crowdsourced emergency response system 

  Malhotra, Madhav (2019-01-08)

  Opioid users are an at-risk community. Risk of opioid overdose among substance users has increased tremendously in the last decade. Many factors, including adulterated drugs and hesitation in calling emergency response ...
• SDN-aware framework for the management of cooperative WLANs/WMNs 

  Sajjadi Torshizi, Seyed Dawood (2019-01-07)

  Drastic growth and chaotic deployment of Wireless Local Area Networks (WLANs) in dense urban areas are some of the common issues of many Internet Service Providers (ISPs) and Wi-Fi users. These issues result in a substantial ...
• Object detection in refrigerators using Tensorflow 

  Agarwal, Kirti (2019-01-02)

  Object Detection is widely used in many applications such as face detection, detecting vehicles and pedestrians on streets, and autonomous vehicles. Object detection not only includes recognizing and classifying objects ...
• Polygonization of implicit models 

  Rovira Galvez, Mauricio Andres (2018-12-20)

  In computer graphics, implicit modelling is a way of representing models by using combinations of implicit functions. These are then polygonized to produce a mesh typically formed from either quads or triangles. We present ...
• Scalable analytics of massive graphs 

  Popova, Diana (2018-12-20)

  Graphs are commonly selected as a model of scientific information: graphs can successfully represent imprecise, uncertain, noisy data; and graph theory has a well-developed mathematical apparatus forming a solid and sound ...
• Scalable algorithms for misinformation prevention in social networks 

  Simpson, Michael (2018-12-19)

  This thesis investigates several problems in social network analysis on misinformation prevention with an emphasis on finding solutions that can scale to massive online networks. In particular, it considers two problem ...
• Human-informed robotic percussion renderings: acquisition, analysis, and rendering of percussion performances using stochastic models and robotics 

  Van Rooyen, Robert Martinez (2018-12-19)

  A percussion performance by a skilled musician will often extend beyond a written score in terms of expressiveness. This assertion is clearly evident when comparing a human performance with one that has been rendered by ...
• Using EEG to decode semantics during an artificial language learning task 

  Foster, Chris (2018-12-04)

  The study of semantics in the brain explores how the brain represents, processes, and learns the meaning of language. In this thesis we show both that semantic representations can be decoded from electroencephalography ...
• Towards a deeper understanding of current conversational frameworks through the design and development of a cognitive agent 

  Angara, Prashanti Priya (2018-11-28)

  In this exciting era of cognitive computing, conversational agents have a promising utility and are the subject of this thesis. Conversational agents aim to offer an alternative to traditional methods for humans to engage ...

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